대한인간공학회지 (Journal of the Ergonomics Society of Korea)

  • 제32권2호
  • /
  • Pages.179-187
  • /
  • 2013
  • /
  • 1229-1684(pISSN)
  • /
  • 2093-8462(eISSN)
대한인간공학회 (Ergonomics Society of Korea)
권호 표지
DOI QR코드

DOI QR Code

Extracting Flick Operator for Predicting Performance by GOMS Model in Small Touch Screen

  • Choi, Mikyung (Department of Industrial Management Engineering, Korea University) ;
  • Lee, Bong Geun (Department of Industrial Management Engineering, Korea University) ;
  • Oh, Hyungseok (Department of Industrial Management Engineering, Korea University) ;
  • Myung, Rohae (Department of Industrial Management Engineering, Korea University)
  • 투고 : 2012.10.23
  • 심사 : 2013.03.20
  • 발행 : 2013.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Objective: The purpose of this study is to extract GOMS manual operator, except for an experiment with participants. Background: The GOMS model has advantage of rapid modeling which is suitable for the environment of technology development which has a short life cycle products with a fast pace. The GOMS model was originally designed for desktop environment so that it is not adequate for implementing into the latest HCI environment such as small touch screen device. Therefore, this research proposed GOMS manual operator extraction methodology which is excluded experimental method. And flick Gesture was selected to explain application of proposed methodology to extract new operator. Method: Divide into start to final step of hand gesture needed to extract as an operator through gesture task analysis. Then apply the original GOMS operator to each similar step of gesture and modify the operator for implementation stage based on existing Fitts' law research. Steps that are required to move are modified based on the Fitts' law developed in touch screen device. Finally, new operator can be derived from using these stages and a validation experiment, performed to verify the validity of new operator and methodology by comparing human performance. Results: The average movement times of the participants' performance and the operator which is extracted in case study are not different significantly. Also the average of movement times of each type of view study is not different significantly. Conclusion: In conclusion, the result of the proposed methodology for extracting new operator is similar to the result of the experiment with their participants. Furthermore the GOMS model included the operator by the proposed methodology in this research could be applied successfully to predict the user's performance. Application: Using this methodology could be applied to develop new finger gesture in the touch screen. Also this proposed methodology could be applied to evaluate the usability of certain system rapidly including the new finger gesture performance.

키워드

참고문헌

  1. Aliakseyeu, D., Irani, P., Lucero, A. and Subramanian, S., multi-flick: An Evaluation of Flick-Based Scrolling Techniques for Pen Interfaces. In proc. CHI 2008, ACM Press 1689-1698, 2008.
  2. Back, J., Myung, R. and Yoon, D., Applying CPM-GOMS Analysis for predicting and Explaining Two-Handed Korean Text entry task on Mobile phones, Human Factors and Ergonomics Society Annual Meeting Proceedings, Human Performance Modeling, 977-981, 2010.
  3. Burigat, S., Chittaro, L. and Gabrielli, S., Navigation Techniques for Smallscreen Devices: An Evaluation on Maps and Web Pages, International Journal of Human Computer Studies, 66(2), 78-97, 2007.
  4. Card, S.K., Moran, T.P. and Newell, A., Computer Text-Editing: An Information-Processing Analysis of a Routine Cognitive Skill, Cognitive Psychology, 12, 32-74, 1980. https://doi.org/10.1016/0010-0285(80)90003-1
  5. Card, S.K., Moran, T.P. and Newell, A., The Psychology of Human- Computer Interaction, L. Erlbaum Associates, 1983.
  6. Cha Y.J., Seungsik, J.O. and Rohae. Myung., A Study of Rapid Prototyping based on GOMS Model, IE Interfaces, 24(1), 1-7, 2011. https://doi.org/10.7232/IEIF.2011.24.1.001
  7. Choi, M.K. and Myung, R., Methodology for Extracting GOMS Operator for Flick in Touch Screen, Proceedings of Korea Industrial Engineering Association, 886-912, 2012.
  8. Choi, E., Kwon, S. and Chung, M.K., Fast-Tap-N-Drag (FTND): Enhancing Panning for Web Browsing on Small Screen Devices Considering Panning Ratio and Direction. In Proc. IEA 2009, International Ergonomics Association, 2009.
  9. Cockburn, A., Ahlstrom, D. and Gutein, C., Understanding Performance in Touch Selection: Tap, Drag and Radial Pointing Drag with Finger, Stylus and Mouse, International Journal of Human-Computer Studies, 70, 218-233, 2012. https://doi.org/10.1016/j.ijhcs.2011.11.002
  10. Fitts, P.M., The Information Capacity of the Human Motor System in Controlling the Amplitude of Movement, Journal of Experimental Psychology, 47(6), 381-391, 1954. https://doi.org/10.1037/h0055392
  11. Hollies, P., Scherr, M. and Broll, G., A Revised Mobile KLM for Interaction with Multiple NFC-Tags. Human-Computer Interaction-INTERACT 2011, Volume 6949/2011, 204-221, 2011.
  12. John, B.E., "Why GOMS?", ACM Interaction, NY USA 89, 1995.
  13. Jones, S., Jones, M., Marsden, G., Patel, D. and Cockburn, A., An evaluation of integrated zooming and scrolling on small screens, International Journal of Human-Computer Studies, 63(3), 271-303, 2005. https://doi.org/10.1016/j.ijhcs.2005.03.005
  14. Kang, B.G., Jung, G.T. and Lee, J.I., Visual Patterns and Performance Evaluation in the Scrolling Design of a Mobile Information Device, Journal of Korean Society of Design Science, 89, Vol .23, No. 3, 261-271, 2010.
  15. Karlson, A.K., Bederson, B. and Contreras-Vidal, J.L., Studies in One- Handed Mobile Design: Habit, Desire and Agility. Tech report HCIL- 2006-02, Computer Science Dept., University of Maryland, 2006.
  16. Kieras, D.E., A Guide to GOMS Model Usability Evaluation using NGOMSL, The Handbook of Human-Computer Interaction. 2nd edition, North-Holland, Amsterdam, 1996.
  17. Kieras, D.E., Model-based Evaluation, The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications, Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 2002.
  18. Lee, J.H., Lee, D.H. and Chung, M.K., Evaluation of mapping functions for one-handed flick operations on a mobile device, In Proc. HCI 2011, New York, ACM Press, 123-131, 2011.
  19. Lee, S. and Zhai, S., The performance of touch screen soft buttons. In: Proceedings of the CHI'09 Conference on Human Factors in Computing Systems, Boston, MA, USA, pp. 309-318, 2009.
  20. Lee, S.J. and Myung, R., Modified GOMS-Model for mobile Computing, Journal of the Society of Korea Industrial and Systems Engineering, Vol. 32, No. 2, 85-93, 2009.
  21. Lee, Y.H. and Myung, R., Revised Computational-GOMS Model for Drag Activity, Journal of the Ergonomics Society of Korea, Vol. 30, No. 2, 365-373, April 2011. https://doi.org/10.5143/JESK.2011.30.2.365
  22. Olson, J.R. and Olson, G.M., The Growth of Cognitive Modeling in Human-Computer Interaction since GOMS, Human-Computer Interaction, 5, 221-265, 1990. https://doi.org/10.1207/s15327051hci0502&3_4
  23. Roudaut, A., Lecolinet, E. and Guiard, Y., MicroRolls: Expanding Touch- Screen Input Vocabulary by Distinguishing Rolls vs. Slides of the Thumb. In Proc. CHI 2009, ACM Press, 927-936, 2009.
  24. Schrepp, M., GOMS Analysis as a Tool to Investigate the Usability of Web Units or disabled users. Universal Access the Information Society, 9(1), 77-86, 2010. https://doi.org/10.1007/s10209-009-0155-2
  25. St. Amant, R., Horton, T.E. and Ritter, F.E., Model-based evaluation of expert cell phone menu interaction, ACM Transactions on Computer- Human Interaction (TOCHI), 14(1), 2007.
  26. Wrobleski, L., Willis, D. and Villamor, C., April 15, Touch Gesture reference guide. (Retried from http://www.lukew.com/touch, 2011.

피인용 문헌

  1. A Unit Touch Gesture Model of Performance Time Prediction for Mobile Devices vol.35, pp.4, 2016, https://doi.org/10.5143/JESK.2016.35.4.277